Data Engineer - Analytical Foundation

Data Engineer, Common Data Warehouse - Marketplaces

Contribute to building a state-of-the-art common data platform

Analytical Foundations team is looking for an experienced engineer to help us design and build the Common Data Warehouse (CDW). The goal of the CDW is to enable Schibsted’s 45+ brands to share, discover and leverage analytical data in a standardized yet autonomous fashion.

This role will be central in realizing our vision : “Enable all the people in Schibsted to leverage any data in Schibsted”. This position is for the Marketplaces extension Team, supporting Schibsted brands like blocket.se, bilbasen.dk,, dba.dk, finn.no and tori.fi.

As a data engineer in our CDW - Marketplaces, you will have two areas of responsibility. (1) You will create and maintain high-performance robust data pipelines that materialize the cross-brand common data model in Schibsted Marketplaces. And (2) you will contribute to building our data platform (e.g. creating libraries, managing AWS infrastructure). To succeed in the role you will have to effectively collaborate with architects, developers, analysts, and other stakeholders from across Schibsted.

We strive to build a solid and extensible data platform aligned with the best practices in the field, in order to enable analysts and other data consumers to deliver value. We have a strong culture of transparency and knowledge sharing. Every team member is encouraged to be curious and continue learning, for which we have plenty of opportunities thanks to frequent tech talks and workshops with other teams in Schibsted.
You will be working with a modern cloud-based tech stack:

-
Backend on AWS (S3, Glue, Athena etc.)

-
Data exploration and processing pipelines in Databricks (PySpark)

-
User-facing data in Snowflake and Tableau

-
CI/CD and infra management using GitHub, TravisCI, Terraform etc.


Who we are looking for:

-
You believe that data observability is as necessary as the quality of code you write

-
You have the technical expertise to create robust data processing pipelines for cleaning and aggregating log-level data at multi-terabyte scale

-
You have a deep knowledge of Python programming and SQL and familiarity with Apache Spark or similar

-
You have experience working with a cloud-based tech stack similar to ours

-
You desire to take on challenges and grow as an engineer

-
You thrive in a collaborative environment and can communicate effectively

-
You aspire to be a valued team member and a good coach for your peers


From Hiring Manager:

Hi, My name is Lukas and I’m your new manager. I have about 15 years of experience in the Data & Analytics field, early on as a Data Analyst and later as a Data & Analytics leader. I’ve been managing different teams in the data and analytics field over the past 8 years.

I believe in building a strong team culture with rituals that create belonging and team spirit, with a high level of a feedback culture. The importance of an environment where everyone can feel safe and comfortable and anyone can thrive.

Privately I love to spend a lot of time with my family, preferably in our summer house in the Finnish archipelago or in the mountains snowboarding and skiing. I do spend a lot of time in the gym to keep my body strong and sound to keep on doing what I love, skateboarding and snowboarding. I do pick up my guitar every now and then and love to watch 80’s movies.

Schibsted is a family of digital brands with a strong Nordic position, and more than 5,000 employees. Millions of people interact with our companies every day through our leading online marketplaces, world-class media houses. We also help new promising businesses grow. Our joint mission of empowering people in their daily lives is rooted in the values of our media heritage and a legacy of bold change. At our best, we are a fearless force for change in a society built on trust and transparency.

Data & Tech is a central product and tech unit that serves all of Schibsted. We are about 250+ people in Oslo, Stockholm and Krakow, and collaborate closely with other product and tech teams in all units in Schibsted. Areas of responsibilities include data & technology strategy, privacy/data trends/responsible data & machine learning, information security and internal IT.